Courses & Workshops

Machine Learning Foundations

EXCPE4787

This is a must-have course for professionals who are seeking foundational, conceptual, and technical knowledge in machine learning. Learn how to analyze the credibility of artificial intelligence/machine learning and its applications in business. Gain an understanding of unsupervised, supervised, and reinforcement learning, the three widely accepted categorizations of machine learning.


Course Objectives

Students will be able to speak confidently about and develop informed opinions about ML and AI. Students will be introduced to the three main types of machine learning and how they are used in a business context. Students will have a working knowledge of how to define a business problem and turn it into a workable ML question. They will also be introduced to the properties of a healthy data pipeline for ML, and the ethical issues which need to be considered when doing an ML project.

  • Knowledge

    • Demystifying AI

    • Understand how the three types of ML are used in business

    • Understand the major issues of data use and collection

    • How to go about turning a business problem into an ML question

    • Ethical issues connected to ML

  • Skills

    • Have well-informed discussions on AI

    • Identify the three types of ML and how they are used

    • Identify the properties of a healthy data pipeline

    • Identify a business problem, and turn it into an ML question

    • Effectively address common ethical issues in ML

  • Integration

    • Look at what you know (or think you know) before and after the class. Has your understanding changed?

    • Case Studies: How, specifically, is ML used in business?

    • Put it all together in an initial ML project plan for the final assignment


Choose a Course Section to Register

  • SU1: Aug 21 - Aug 23, 2019 (Calgary)

    Open to registration until Aug 21, 2019. Registering at least one week before the deadline is recommended as this class may fill up or be cancelled due to low enrolment.

    $995 - Add to Cart

    Format & Location

    In Person course delivery


    Calgary,

    Class Schedule

    Aug 21 - Aug 23
    Wed, Thu, Fri 08:30 AM - 05:00 PM

    Instructor

    Anna Koop

    Class Notes

    This class is located in Room 423, Social Sciences Building, at 618 Campus Place, Calgary, AB T2N 4V8. This class requires a post-work component to be completed after the last in-class meeting. Please refer to course syllabus for specific details.

  • FA1: Sep 18 - Sep 20, 2019 (Edmonton)

    Open to registration until Sep 1, 2019. Registering at least one week before the deadline is recommended as this class may fill up or be cancelled due to low enrolment.

    $995 - Add to Cart

    Format & Location

    In Person course delivery

    Enterprise Square
    Edmonton, Alberta

    Class Schedule

    Sep 18 - Sep 20
    Wed, Thu, Fri 08:30 AM - 05:00 PM

    Instructor

    TBD

    Class Notes

    This class requires a post-work component to be completed after the last in-class meeting. Please refer to course syllabus for specific details.